A two level market model for resource allocation optimization in computational grid

Abstract

This paper investigates the interactions between agents representing users, services and resources to solve resource allocation optimization in computational grid. In order to reduce the computational complexity, we further decompose the grid resource allocation optimization into subproblems: grid user agent-grid service agent in service market and grid service agent-grid resource agent in resource market. Two-level market converges to its optimal points; a globally optimal point is achieved. Total user benefit of the computational grid is maximized when the equilibrium prices are obtained through the service market level optimization and resource market level optimization. It demonstrates a practical approach to market responsive resource pricing that can benefit grid providers and users alike. The paper presents two-level market grid resource pricing that is an iterative algorithm used to perform optimal resource allocation. The experiment shows that two-level market based resource pricing scheme outperforms one level market scheme in terms of task completion time and resource allocation efficiency